"Analysis of cyberweapons" course

I got requests from my colleagues from the US and EU universities to come up with the "Analysis of cyberweapons" course in English. In the first video, I start the series devoted to the analysis of the Russian cyberweapons used in the Russia-Ukraine war. 

The lessons will be published on my Patreon (https://www.patreon.com/alexanderadamov) and YouTube channel (https://www.youtube.com/c/MalwareResearchAcademy)

For Ukrainians:

- Telegram channel (UA): https://t.me/malwareanalysisinua
- Youtube channel (UA): https://www.youtube.com/channel/UCqquOw2m2QF_EjcyxVwIYyQ

AI and Cybersecurity. Part 1 - Intro

Image via www.vpnsrus.com

[Author: Alexander Adamov]

Foreword
I have spent almost all my professional life working in the antivirus industry detecting and analyzing malware. Around ten years ago, when the malware flow had increased so much that my colleagues and I did not have enough resources to analyze them all, we started thinking about automating our efforts. How to make a machine that autonomously detects and analyzes malware and phishing URLs day and night, writes and publishes reports? As a result, we managed to create a robot (what we call now 'malware sandbox') from scratch to automate most of the processes in the malware laboratory with the help of His Majesty Artificial Intelligence (AI). Since that, we accumulated a bunch of use cases for cyberattacks detection, malware analysis, and security testing with ML that can be useful for cybersecurity professionals that decided to leverage ML for cyberdefense. I'm going to share this knowledge in the series of blog posts that will eventually become a part of a new university course 'ML in Cybersecurity' that I plan to make open-source. I also welcome cybersecurity experts and data scientists to contribute and help universities adopting the course.